The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 11, 2023

Filed:

May. 03, 2018
Applicant:

British Telecommunications Public Limited Company, London, GB;

Inventor:

Robert Ghanea-Hercock, London, GB;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 9/50 (2006.01); G06N 20/00 (2019.01); H04L 67/1036 (2022.01); G06F 9/455 (2018.01); G06F 9/38 (2018.01); G06F 9/48 (2006.01); G06F 9/54 (2006.01); G06F 18/23 (2023.01); G06F 18/241 (2023.01);
U.S. Cl.
CPC ...
G06F 9/505 (2013.01); G06F 9/3836 (2013.01); G06F 9/45558 (2013.01); G06F 9/48 (2013.01); G06F 9/5005 (2013.01); G06F 9/5083 (2013.01); G06F 9/546 (2013.01); G06F 18/23 (2023.01); G06F 18/241 (2023.01); G06N 20/00 (2019.01); G06F 2009/4557 (2013.01); H04L 67/1036 (2013.01);
Abstract

A computer implemented method of executing a plurality of discrete software modules each including a machine learning algorithm as an executable software component configurable to approximate a function relating a domain data set to a range data set; a data store; and a message handler as an executable software component arranged to receive input data and communicate output data for the module, wherein the message handler is adapted to determine domain parameters for the algorithm based on the input data and to generate the output data based on a result generated by the algorithm, each module having associated a metric of resource utilization by the module, the method including receiving a request for a machine learning task; and selecting a module from the plurality of modules for the task based on the metric associated with the module.


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